Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Serverless GPUs
We’ve been hearing about “serverless” CPUs for some time, but it’s taken a while to get to serverless GPUs. In this episode, Erik from Banana explains why its taken so long, and he helps us understand how these new workflows are unlocking state-of-the-art AI for application developers. Forget about servers, but don’t forget to listen to this one!
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Featuring:
- Erik Dunteman – Twitter, GitHub, LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Banana - Scale your machine learning inference and training on serverless GPUs.
Something missing or broken? PRs welcome!
Timestamps:
(00:07) - Welcome to Practical AI
(00:43) - Erik Dunteman
(02:34) - What does serverless mean to you?
(07:17) - What's the secret sauce?
(09:30) - How does serverless affect our workflows?
(13:21) - Sponsor: Changelog++
(14:21) - What languages do you prefer?
(17:20) - The Banana workflow
(20:33) - The necessary minimum skills to use Banana
(24:51) - A typical win
(26:20) - Incompatible workflows
(30:11) - Future Banana-AWS compatability?
(32:53) - Tips to choose your GPU
(35:23) - What's the future of serverless?
(37:46) - Outro